Pinned Repositories
100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
Bios8366
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
ColabDesign
Making Protein Design accessible to all via Google Colab!
LaTeX-Templates
LaTeX 4 ever
Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
dashwood99's Repositories
dashwood99/ColabDesign
Making Protein Design accessible to all via Google Colab!
dashwood99/100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
dashwood99/AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
dashwood99/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
dashwood99/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
dashwood99/rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
dashwood99/AiLearning-Theory-Applying
快速上手Ai理论及应用实战：基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
dashwood99/alphafill
AlphaFill is an algorithm based on sequence and structure similarity that “transplants” missing compounds to the AlphaFold models. By adding the molecular context to the protein structures, the models can be more easily appreciated in terms of function and structure integrity.
dashwood99/awesome-immigration
An Awesome list of long-term visas
dashwood99/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
dashwood99/ChatGPT-Next-Web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
dashwood99/clearml
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
dashwood99/ColossalAI
Making large AI models cheaper, faster and more accessible
dashwood99/Data-Analysis
Data Science Using Python
dashwood99/folding_tools
A collection of *fold* tools
dashwood99/free-programming-books
:books: Freely available programming books
dashwood99/GitHub520
:kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
dashwood99/GitTry
Quick guide to GIT
dashwood99/google-research
Google Research
dashwood99/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
dashwood99/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
dashwood99/material-design-data
关于 Material Design 的一切资料都在这里
dashwood99/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
dashwood99/NotionNext
使用 NextJS + Notion API 实现的，支持多种部署方案的静态博客，无需服务器、零门槛搭建网站，为Notion和所有创作者设计。
dashwood99/PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
dashwood99/protein-design-tutorials
Tutorials, cheat sheets, and other resources for computational methods for protein design.
dashwood99/ProteinFlow
Versatile computational pipeline for processing protein structure data for deep learning applications.
dashwood99/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
dashwood99/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
dashwood99/temofiles